Difference between r1.3 and the current
@@ -1,3 +1,12 @@
Sub:
[[베르누이확률변수,Bernoulli_RV]]
[[이항확률변수,binomial_RV]]
[[기하확률변수,geometric_RV]]
[[음이항확률변수,negative_binomial_RV]]
[[푸아송확률변수,Poisson_RV]]
[[균등확률변수,uniform_RV]]
[[지프확률변수,Zipf_RV]]
----
[[평균,mean]]:$E[X]=\int_{-\infty}^{\infty}xf_X(x)dx$
@@ -8,9 +17,9 @@
$=E[X^2]-E[X]^2$
$=\int_{-\infty}^{\infty}x^2f_X(x)dx-\left(\int_{-\infty}^{\infty}xf_X(x)dx\right)^2$
## from 성대 안창욱 http://kocw.net/home/search/kemView.do?kemId=444781 04_2 확률분포함수, 랜덤변수의 변환 25분
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$=\int_{-\infty}^{\infty}x^2f_X(x)dx-\left(\int_{-\infty}^{\infty}xf_X(x)dx\right)^2$
from 성대 안창욱 http://kocw.net/home/search/kemView.do?kemId=444781 04_2 확률분포함수, 랜덤변수의 변환 25분
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Twin: [[VG:이산확률변수,discrete_random_variable]]
Compare: [[연속확률변수,continuous_RV]]Up: [[확률_및_랜덤_프로세스]], [[확률변수,RV]]
Up: [[확률및랜덤프로세스,probability_and_random_process]], [[확률변수,RV]]
Sub:
평균,mean:
$\displaystyle E[X]=\int_{-\infty}^{\infty}xf_X(x)dx$
분산,variance:$\displaystyle VAR[X]$
$\displaystyle =E[(X-m_X)^2]$
$\displaystyle =\int_{-\infty}^{\infty}(x-m_X)^2f_X(x)dx$
$\displaystyle =E[X^2]-E[X]^2$
$\displaystyle =\int_{-\infty}^{\infty}x^2f_X(x)dx-\left(\int_{-\infty}^{\infty}xf_X(x)dx\right)^2$
from 성대 안창욱 http://kocw.net/home/search/kemView.do?kemId=444781 04_2 확률분포함수, 랜덤변수의 변환 25분$\displaystyle =E[(X-m_X)^2]$
$\displaystyle =\int_{-\infty}^{\infty}(x-m_X)^2f_X(x)dx$
$\displaystyle =E[X^2]-E[X]^2$
$\displaystyle =\int_{-\infty}^{\infty}x^2f_X(x)dx-\left(\int_{-\infty}^{\infty}xf_X(x)dx\right)^2$
